In today’s enterprise landscape, leveraging the synergy between SAP S/4HANA and SAP BW/4HANA is critical for unlocking the full value of real-time operational and analytical processing. While SAP S/4HANA serves as the core transactional system, SAP BW/4HANA functions as a powerful data warehouse for complex analytical scenarios. Establishing a robust data flow between these two systems ensures timely, reliable, and structured data availability for informed decision-making.
This article outlines the key steps and considerations for configuring data flow from SAP S/4HANA to SAP BW/4HANA, enabling organizations to harness a modern, agile, and integrated data architecture.
Data integration from SAP S/4HANA to SAP BW/4HANA can be achieved via multiple mechanisms, including:
The preferred and most modern approach is the ODP-based extraction, especially using CDS Views (Core Data Services), as it aligns with SAP’s strategic direction.
Before configuring the data flow, ensure the following prerequisites are met:
ODQMON for monitoring).Identify standard or custom CDS Views for the required data (e.g., I_Material, I_SalesOrderItem).
Ensure the CDS View is:
@Analytics.dataCategory: #CUBE or #DIMENSION@OData.publish: true, @Analytics.query: trueActivate the CDS View and check availability in the ODP framework using ODQMON.
Create Data Targets in BW/4HANA:
Define and activate the Data Flow:
ODQMON in the source system.| Issue | Potential Cause | Suggested Action |
|---|---|---|
| DataSource not visible in BW | CDS View not released for extraction | Add required annotations, check ODQMON |
| No data in DTP load | Filters incorrectly set, or view has no data | Check filter criteria and view output |
| Authorization errors | Missing roles or RFC access issues | Validate user roles and RFC configurations |
Integrating SAP S/4HANA with SAP BW/4HANA through modern techniques like ODP-based CDS extraction enables a lean, performant, and flexible analytical landscape. By adhering to best practices and understanding the underlying architecture, organizations can ensure efficient and reliable data provisioning from operational systems to their analytical backbone.
With SAP’s push toward real-time and embedded analytics, this integration forms a cornerstone of an intelligent enterprise strategy.